Table_1_A model for predicting physical function upon discharge of hospitalized older adults in Taiwan—a machine learning approach based on both electronic health records and compr... by Wei-Min Chu (11758046)

Data Sheet 1_Inflammatory imbalance and activation deficits in T cells of myasthenia gravis patients revealed by proteomic profiling.pdf by Amol K. Bhandage (6083420)

“…Data analysis was performed using the Boruta algorithm to detect both linear and non-linear patterns, followed by multiple testing corrections, and correlation analyses. …”

Supplementary file 1_Socioeconomic status and lifestyle as factors of multimorbidity among older adults in China: results from the China Health and Retirement Longitudinal Survey.d... by Wei Gong (112494)

“…SHapley Additive exPlanations (SHAP) were used to interpret model outputs.</p>Results<p>XGBoost achieved the best predictive performance (AUC = 0.788 on the test set), outperforming both linear and non-linear models across most evaluation metrics. …”

Table 1_Trajectories of health conditions predict cardiovascular disease risk among middle-aged and older adults: a national cohort study.docx by Wenlong Li (571749)

“…Trajectories of multimorbidity status, activities of daily living (ADLs) limitations, body roundness index (BRI), pain, sleep duration, depressive symptoms, and cognitive function were identified using latent class growth models (LCGMs). …”